A Survey of Neuromorphic Computing-in-Memory: Architectures, Simulators, and Security
Felix Staudigl, Farhad Merchant, Rainer Leupers
Abstract
This work is a survey of neuromorphic computing-in-memory. Unlike existing surveys that focus on hardware or application-level perspectives, the authors elaborate on architectures, simulators, and security from a system point of view. At the end of the article, the authors highlight the challenges in neuromorphic computing-in-memory and raise a few open questions for future research in this field.
Topics & Concepts
Neuromorphic engineeringComputer scienceField (mathematics)Focus (optics)Computer architecturePoint (geometry)Open researchWork (physics)Human–computer interactionData scienceArtificial neural networkArtificial intelligenceWorld Wide WebEngineeringPhysicsPure mathematicsMechanical engineeringGeometryOpticsMathematicsAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesParallel Computing and Optimization Techniques